NEW YORK – Pancreatic cancer risk prediction models based on clinical factors may be refined and improved by bringing in other types of data, including germline genetic risk variant and blood-based biomarker data, according to an international team led by investigators at the Harvard T.H. Chan School and Public Health and the Dana-Farber Cancer Institute.